Rent the RTX 4090 if…
you run Stable Diffusion, FLUX or ComfyUI, serve 7B–13B models, train LoRAs, or need a CUDA development box at the lowest price for a card this fast.
Deploy an RTX 4090 · $189/mo
NVIDIA RTX 409024 GB GDDR6X · Ada Lovelace
vs
NVIDIA A10080 GB HBM2e · Ampere
RTX 4090 vs A100: which GPU should you rent?
A consumer flagship against a data center classic: 24 GB of GDDR6X and FP8 on the RTX 4090 for $189 a month, or 80 GB of HBM2e with ECC and NVLink on the A100 for $649.
- RTX 4090, dedicated$189per month · $0.26/h effective
- A100, dedicated$649per month · $0.89/h effective
- Monthly saving−71%the RTX 4090 costs $460 less a month
The short answer
Which one should you rent?
For image generation, small-model inference and LoRA training on 7B–13B models, the RTX 4090 is hard to beat: it is fast, it has FP8, and it costs less than a third of an A100 per month. Its limit is memory — 24 GB, no ECC, no NVLink to pool GPUs. The moment your model, batch or optimizer state needs more, the A100's 80 GB and 2 TB/s are worth the difference: full fine-tunes, 30B–70B models, multi-GPU training.
- Memory. 80 GB of HBM2e with ECC on the A100 against 24 GB of GDDR6X without ECC on the RTX 4090.
- Bandwidth. 2 TB/s against 1.01 TB/s: twice the bandwidth for large-model decoding on the A100.
- Tensor features. FP8 on the 4090 (Ada), not on the A100 (Ampere); MIG partitioning only on the A100.
- Scaling. NVLink in multi-GPU A100 orders; the RTX 4090 runs PCIe only, so each card works on its own share of the job.
Rent the A100 if…
you need more than 24 GB — full fine-tunes, 30B–70B models, large batches — or ECC memory, NVLink and MIG for production training.
Deploy an A100 · $649/moSpecifications
RTX 4090 vs A100: the numbers side by side
NVIDIA's published figures for each part, tensor throughput without sparsity. The last column is how the RTX 4090 compares, as a multiple of the A100.
| Specification | NVIDIA RTX 4090 | NVIDIA A100 | RTX 4090 vs A100 |
|---|---|---|---|
| Architecture | Ada Lovelace · 2022 | Ampere · 2020 | — |
| GPU memory | 24 GB GDDR6X | 80 GB HBM2e | 0.3× |
| Memory bandwidth | 1 TB/s | 2 TB/s | 0.49× |
| FP16 / BF16 tensor (dense) | 165 TFLOPS (330 with FP16 accumulate) | 312 TFLOPS | 0.53× |
| FP8 tensor (dense) | 330 TFLOPS (661 with FP16 accumulate) | Not supported | Only the RTX 4090 |
| FP4 tensor (dense) | Not supported | Not supported | — |
| Maximum power | 450 W | 400 W | 1.1× |
| Form factor | PCIe Gen4 x16 | SXM4 | — |
| GPU-to-GPU link | PCIe only | NVLink 3 · 600 GB/s | — |
| Multi-Instance GPU (MIG) | No | Up to 7 instances | — |
| ECC memory | No | Yes | — |
| Video engines | 2 NVENC · 1 NVDEC (AV1) | 5 NVDEC · no NVENC | — |
| CUDA compute capability | 8.9 | 8.0 | — |
| Dedicated host here | 8 vCPU · 64 GB RAM · 1 TB NVMe | 16 vCPU · 128 GB RAM · 2 TB NVMe | — |
| Price per month here | $189 | $649 | 0.29× |
Sources: NVIDIA datasheets and product pages for each GPU. Tensor figures are dense (NVIDIA often prints them doubled “with sparsity”). Prices are this site's flat monthly rates for a dedicated server with the host listed, in USD excluding VAT.
Value
What each dollar buys
Price per month divided into the two resources most jobs run out of first — memory and memory bandwidth — and what the same GPU costs kept on for a month at the market-median hourly rate.
Per GB of GPU memoryRTX 4090 $7.88 · A100 $8.11per month, dedicated host included
Per TB/s of bandwidthRTX 4090 $188 · A100 $318per month — what decode-heavy inference pays for
Effective hourly rateRTX 4090 $0.26/h · A100 $0.89/hflat monthly price over 730 hours
Same GPU on demand, 24/7RTX 4090 $329 · A100 $1,285market-median hourly rate × 730 h
Model sizes
What fits on one RTX 4090 and one A100
The largest model whose weights fit on a single GPU, keeping 10% of the memory for the runtime, activations and a small KV cache. Long contexts and large batches need more — size them with the GPU memory calculator.
| Weights precision | NVIDIA RTX 4090 | NVIDIA A100 | Typical use |
|---|---|---|---|
| 16-bit (BF16 / FP16) | up to ~11B parameters | up to ~36B parameters | Full-precision inference; the base weights of a LoRA fine-tune |
| 8-bit (FP8 / INT8) | up to ~22B parameters | up to ~72B parameters | FP8 serving with vLLM or TensorRT-LLM on GPUs that support it; INT8 weights elsewhere |
| 4-bit (GPTQ, AWQ, Q4) | up to ~39B parameters | up to ~130B parameters | Quantised inference on a budget; QLoRA fine-tuning |
Parameters in billions, weights only: 2 bytes per parameter at 16-bit, 1 at FP8 or INT8, about 0.55 at 4-bit (GPTQ, AWQ, GGUF Q4). Mixture-of-experts models need memory for all their experts, not just the active ones.
Prices
RTX 4090 and A100 price per month, by term
Per dedicated GPU server, in USD excluding VAT — CPU cores, RAM, NVMe, 20 TB of transfer and 24/7 support included.
| Term | NVIDIA RTX 4090 | NVIDIA A100 | Difference per month |
|---|---|---|---|
| Monthly | $189 | $649 | $460 |
| 3 months · −5% | $180 | $617 | $437 |
| 6 months · −10% | $170 | $584 | $414 |
| 12 months · −15% | $161 | $552 | $391 |
| Dedicated host | 8 vCPU · 64 GB RAM · 1 TB NVMe · 10 Gbps | 16 vCPU · 128 GB RAM · 2 TB NVMe · 25 Gbps | included |
RTX 4090 vs A100: questions answered
Is the RTX 4090 faster than the A100?
For some jobs it can be as fast: small-model inference and diffusion pipelines that fit in 24 GB run well on Ada tensor cores, with FP8 on top. For anything that needs more memory or bandwidth, the A100 is faster — and many jobs simply do not fit on a 4090.
Can I fine-tune on an RTX 4090?
LoRA and QLoRA on 7B–13B models, yes — one of its best uses. A full fine-tune needs about 16 bytes per parameter (some 112 GB for a 7B model), which is multi-A100 or H100 territory.
Why does the A100 cost 3.4× as much?
Because it is a different class of hardware: 80 GB of HBM2e with ECC, 2 TB/s of bandwidth, NVLink and MIG, in a data center form factor. You pay for memory and scalability, not raw speed.
Are the RTX 4090 and the A100 in stock?
19 of 36 RTX 4090 units were free at the last stock update; 21 of 48 A100 units were free at the last stock update (18 September 2026). Both are provisioned automatically, in under 10 minutes after payment.
Can I rent the RTX 4090 or the A100 without KYC?
Yes. Both are rented with an email address and paid from a prepaid balance in Bitcoin, Ether or USDT — $189 and $649 a month, dedicated, with no identity check and no card.
Other GPU comparisons
Both are in stock, by the month
Dedicated, single-tenant and live in under 10 minutes: the RTX 4090 at $189 or the A100 at $649 a month, paid in BTC, ETH or USDT with no KYC.